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FIBRA Prologis (FBBPF) Fair Value & Analysis

Real Estate · US · Market cap $7.5B

Price$4.37
Fair Value$4.16
Upside-4.8%
Quality95/100
Evidence: High Range $3.80 – $7.44

Fair value as of: Jun 25, 2026

Analysis

FIBRA Prologis (FBBPF) currently trades at $4.37, while our model-based Fair Value estimate is $4.16 — implying the stock looks roughly 4.8% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

FIBRA Prologis is a real estate investment trust (REIT) that invests in and manages Class A industrial properties in Mexico. As of December 31, 2025, Its portfolio comprised 518 investment properties, totaling 87.4 million square feet (8.1 million square meters). This includes 350 strategically located logistics and manufacturing buildings in six major industrial markets in Mexico, comprising 65.9 million square feet (6.1 million square meters) of Gross Leasable Area (GLA), and 168 buildings with 21.5 million square feet (1.9 million square meters) of non-strategic assets in other markets. FIBRA Prologis was established on August 13, 2013 and incorporated in Mexico.

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Frequently asked questions

Is FIBRA Prologis (FBBPF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $4.16 versus a price of $4.37 — about −5% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FBBPF?
Our 21-model fair value for FIBRA Prologis is $4.16 (as of Jun 25, 2026), built from audited fundamentals. The current price is $4.37.
What is the quality score of FBBPF?
FIBRA Prologis has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.